Learning the Equations of Data. - Chris M. Roadknight; Dominic Palmer-Brown; G. E. Sanders (SNN Symposium on Neural Networks, 1995)

Correlated Activity Pruning (CAPing). - Chris M. Roadknight; Dominic Palmer-Brown; Gina E. Mills (Fuzzy Days, 1997)

The Analysis of Artificial Neural Network Data Models. - Chris M. Roadknight; Dominic Palmer-Brown; Gina E. Mills (IDA, 1997)

Modeling complex environmental data. - Chris M. Roadknight; Graham R. Balls; Gina E. Mills; Dominic Palmer-Brown (IEEE Trans. Neural Networks, 1997)

Linking Cache Performance to User Behaviour. - Ian W. Marshall; Chris M. Roadknight (Comput. Networks, 1998)

Variations in Cache Behavior. - Chris M. Roadknight; Ian W. Marshall (Comput. Networks, 1998)

Modelling HTTP Traffic Generated by Community of Users. - George Bilchev; Ian W. Marshall; Sverrir Olafsson; Chris M. Roadknight (HPCN Europe, 1999)

Differentiated Quality of Service in Application Layer Active Networks. - Chris M. Roadknight; Ian W. Marshall (IWAN, 2000)

File popularity characterisation. - Chris M. Roadknight; Ian W. Marshall; Debbie Vearer (SIGMETRICS Perform. Evaluation Rev., 2000)

Emergent Organisation in Colonies of Simple Automata. - Ian W. Marshall; Chris M. Roadknight (ECAL, 2001)

Antigens, Antibodies, and the World Wide Web. - Daniel Stow; Chris M. Roadknight (ECAL, 2001)

A novel architecture for active service management. - Ian W. Marshall; Hamid Gharib; Jim Hardwicke; Chris M. Roadknight (Integrated Network Management, 2001)

Management of future data networks. - Ian W. Marshall; Chris M. Roadknight (SMC, 2001)

Provision of quality of service for active services. - Ian W. Marshall; Chris M. Roadknight (Comput. Networks, 2001)

Performance-guided Neural Network for Rapidly Self-Organising Active Network Management. - Sin Wee Lee; Dominic Palmer-Brown; Jonathan A. Tepper; Chris M. Roadknight (HIS, 2002)

Snap-drift: real-time, performance-guided learning. - Sin Wee Lee; Dominic Palmer-Brown; Jonathan A. Tepper; Chris M. Roadknight (IJCNN, 2003)

Reinforced snap-drift learning for proxylet selection in active computer networks. - Sin Wee Lee; Dominic Palmer-Brown; Chris M. Roadknight (IJCNN, 2004)

Performance-guided neural network for rapidly self-organising active network management. - Sin Wee Lee; Dominic Palmer-Brown; Chris M. Roadknight (Neurocomputing, 2004)

An Intelligent Sensor Network for Oceanographic Data Acquisition. - Chris M. Roadknight; Antonio González 002; Laura Parrot; Steve Boult; Ian W. Marshall (ADHOC-NOW, 2005)

Real-Time Data Management on a Wireless Sensor Network. - Chris M. Roadknight; Laura Parrot; Nathan Boyd; Ian W. Marshall (Int. J. Distributed Sens. Networks, 2005)

Biomarker Clustering of Colorectal Cancer Data to Complement Clinical Classification. - Chris M. Roadknight; Uwe Aickelin; Alex Ladas; Daniele Soria; John Scholefield; Lindy Durrant (FedCSIS, 2012)

Supervised learning and anti-learning of colorectal cancer classes and survival rates from cellular biology parameters. - Chris M. Roadknight; Uwe Aickelin; Guoping Qiu; John Scholefield; Lindy Durrant (SMC, 2012)

Validation of a microsimulation of the Port of Dover. - Chris M. Roadknight; Uwe Aickelin; Galina Sherman (J. Comput. Sci., 2012)

Ensemble learning of colorectal cancer survival rates. - Chris M. Roadknight; Uwe Aickelin; John Scholefield; Lindy Durrant (CIVEMSA, 2013)

Extending a Microsimulation of the Port of Dover. - Christopher M. Roadknight; Uwe Aickelin (CoRR, 2013)

A methodology for automatic classification of breast cancer immunohistochemical data using semi-supervised Fuzzy c-means. - Daphne Teck Ching Lai; Jonathan M. Garibaldi; Daniele Soria; Christopher M. Roadknight (Central Eur. J. Oper. Res., 2014)

Data classification using the Dempster-Shafer method. - Qi Chen; Amanda M. Whitbrook; Uwe Aickelin; Chris M. Roadknight (J. Exp. Theor. Artif. Intell., 2014)

An ensemble of machine learning and anti-learning methods for predicting tumour patient survival rates. - Christopher M. Roadknight; Durga Suryanarayanan; Uwe Aickelin; John Scholefield; Lindy Durrant (DSAA, 2015)

Improving Student's Engagement Through the Use of Learning Modules, Instantaneous Feedback and Automated Marking. - Prapa Rattadilok; Chris M. Roadknight (TALE, 2018)

Teaching Students About Machine Learning Through a Gamified Approach. - Prapa Rattadilok; Chris M. Roadknight; Li Li (TALE, 2018)

Teaching Key Machine Learning Principles Using Anti-learning Datasets. - Chris M. Roadknight; Prapa Rattadilok; Uwe Aickelin (TALE, 2018)

Improving Understanding of EEG Measurements Using Transparent Machine Learning Models. - Chris M. Roadknight; Guanyu Zong; Prapa Rattadilok (HIS, 2019)

Agent-based modelling with geographically weighted calibration for intra-urban activities simulation using taxi GPS trajectories. - Shuhui Gong; Xiangrui Dong; Kaiqi Wang; Bingli Lei; Zizhao Jia; Jiaxin Qin; Chris M. Roadknight; Yu Liu 003; Rui Cao 001 (Int. J. Appl. Earth Obs. Geoinformation, 2023)